Yanru Jiang

13 papers B 3Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Explicit Cooperation Shapes Human-Like Multi-Agent LLM Negotiation. CogSci Yanru Jiang, Gülsah Akçakir
2025	J	`jnl`	Mapping the learning curves of deep learning networks. PLoS Comput. Biol. Yanru Jiang, Rick Dale
2025	—	`conf`	Synthetic Survey Data Generation and Evaluation. KDD (1) Yanru Jiang, Siyu Liang, Junwon Choi
2025	B	`conf`	Understanding Human Heuristics in Context-Sensitive Image Captioning. CogSci Yanru Jiang, Rick Dale, Hongjing Lu
2024	B	`conf`	A Deep Neural Network Approach for Integrating Neural and Behavioral Signals: Multimodal Investigation with fNIRS Hyperscanning and Facial Expressions. CogSci Grace Qiyuan Miao, Yanru Jiang, Ashley Binnquist, Agnieszka Pluta, Francis F. Steen, Rick Dale, Matthew D. Lieberman
2024	J	`jnl`	SSDT: Scale-Separation Semantic Decoupled Transformer for Semantic Segmentation of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Chengyu Zheng, Yanru Jiang, Xiaowei Lv, Jie Nie, Xinyue Liang, Zhiqiang Wei
2024	J	`jnl`	Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks. Cogn. Syst. Res. Yanru Jiang, Rick Dale, Hongjing Lu
2022	—	`conf`	An Unsupervised Approach to Discover Media Frames. PoliticalNLP@LREC Sha Lai, Yanru Jiang, Lei Guo, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya
2022	—	`conf`	Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm. ICWSM Workshops Yanru Jiang, Xin Jin, Qinghao Deng
2022	J	`jnl`	Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm. CoRR Yanru Jiang, Xin Jin, Qinhao Deng
2022	—	`conf`	Using k-Means Clustering to Classify Protest Songs Based on Conceptual and Descriptive Audio Features. HCI (23) Yanru Jiang, Xin Jin
2021	—	`conf`	A Fine-Grained River Ice Semantic Segmentation based on Attentive Features and Enhancing Feature Fusion. MMAsia Rui Wang, Chengyu Zheng, Yanru Jiang, Zhaoxin Wang, Min Ye, Chenglong Wang, Ning Song, Jie Nie
2021	—	`conf`	Multi-Scale Graph Convolutional Network and Dynamic Iterative Class Loss for Ship Segmentation in Remote Sensing Images. MMAsia Yanru Jiang, Chengyu Zheng, Zhaoxin Wang, Rui Wang, Min Ye, Chenglong Wang, Ning Song, Jie Nie

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.